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Robotic hair transplantation surgery is generally effective with high satisfaction rates and minimal complications.

Hair loss in elderly women is often caused by various factors, including hormonal changes after menopause.

Researchers found a new gene, hacl-1, that is active in mouse hair follicles during hair growth and may be important for hair biology.

Essential oils may help hair health but lack strong scientific proof and can cause allergic reactions.

Removing hair from mice without reproductive glands led to grey hair, possibly helping to understand greying in aging.

The paper concludes that for natural-looking hair restoration, it's important to create an irregular hairline, use appropriately sized and angled grafts, and ensure a snug fit between grafts and recipient sites.

A good hair transplant is judged by various factors including cosmetic appearance, hair angles, complication signs, and donor scar consideration.

The document concludes that surgery is a preferred treatment for cicatricial alopecia, with the method chosen based on individual factors and may require multiple sessions and careful postoperative care.

The document reviews key historical figures and discoveries in dermatology.

Artificial dermis used for hair transplantation can reconstruct scalp defects effectively without the need for tissue expansion.

AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.

3D-cultured cells in HGC-coated environments improve hair growth and skin integration.

The author believes artificial dermis might not be the best first option for hair transplant surgeons when other surgical choices exist for scalp reconstruction.

Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.

The KEBOT system is a highly accurate AI tool for analyzing hair transplants.

The conclusion is that measuring how drugs partition into artificial sebum is important for predicting their delivery into hair and sebaceous follicles, and it provides better information than traditional methods.

Different compounds move through artificial sebum at different rates, which can help choose the best ones for targeting hair follicles.

Artificial dermal template treatment can stimulate complete skin and hair follicle regrowth.

An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.

AI can predict hair loss patterns to improve care and treatment.

Patients using social media have mixed feelings about alopecia treatments, noting hair growth but also frustration with treatment recurrence.

The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.

A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.

Artificial sebum L closely mimics human sebum for drug delivery research.

Diffusion in artificial sebum is mainly influenced by molecular size and is much faster than in skin lipids.

Certain gene variations increase male hair loss risk, influenced by hormone levels.

New skin imaging, teledermatology, and AI could become key in future dermatology care.

The artificial skin promotes better wound healing and skin regeneration.

Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.

X-ray microscopy can non-invasively show hair structure changes after treatments, but it's less detailed than TEM and needs improvement.